126 to 150 of 274 Distributed Computing Jobs in England

or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Experience in building machine learning models for business application PREFERRED QUALIFICATIONS - Experience using Unix/Linux - Experience in professional software development Amazon is More ❯

term strategic partnerships in support of key markets. - Grow the business to develop an independent territory. - Handle a high volume of engagements and the fast pace of the cloud computing market - Experienced with account management and solution oriented business development. - Relevant technical knowledge such as: fundamentals of cloud computing and virtualization, database systems, core distributed computing … experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. More ❯

biology, or systems biology. Proven track record of publishing in top-tier conferences or journals. Experience developing machine learning models for production, particularly in drug design. Proficiency with cloud computing platforms (e.g., AWS, GCP) or distributed computing frameworks. What we offer A collaborative and innovative environment at the frontier of computational biology, machine learning, and drug discovery. More ❯

or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Experience in building machine learning models for business application PREFERRED QUALIFICATIONS - Experience using Unix/Linux - Experience in professional software development Amazon is More ❯

BASIC QUALIFICATIONS - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS - Experience using Unix/Linux - Experience in professional software development - PhD, or a Master's degree and experience building machine learning More ❯

on software engineering concepts and applied experience Strong technology background with experience in object-oriented programming, test driven development using Python Experience in building and debugging application build on distributed computing architecture Good understanding of event based architecture. Strong Analytical and problem-solving skills Good interpersonal skills and able to work effectively in a global team Self-starter More ❯

a range of architectural skills which could include modern solution design, Target operating models, Solution Estimation and Planning or Architecture Governance (ideally in an Agile context) Experience of cloud computing platforms, eg, AWS, GCP, Azure, and distributed computing environments deployed for realizing insurance specific solutions. A strong technical background with demonstrable expertise in applying the same in More ❯

Airflow or DBT , and data platforms such as Snowflake or Databricks . Solid experience with CI/CD, observability, and platform reliability practices in cloud-native environments. Understanding of distributed computing concepts , and experience designing systems for scale, security, and availability . A proactive, collaborative mindset and demonstrated ability to lead technical projects and align stakeholders around shared More ❯

products such as Fixed Income (e.g. ICMA Green Bonds Principles, ISO 14030, etc), Equities (e.g. SASB, GRI, IFRS), and EU Taxonomy, among others. Transformational Data Technologies . Blockchain and Distributed Ledger Technologies – This should include well-known open-source projects like Ethereum as well as domain-specific ones like Corda R3. Artificial Intelligence – The increasing amount of data from … sectors such as Energy, Transport, Materials & Buildings, and Agriculture, among others could be collected in order to demonstrate the environmental impact of sustainable investments. Other aspects of Data and Distributed Computing – In order to handle the growing amount of data across the ESG investment spectrum, candidates should have a working knowledge of Cloud Infrastructure, Version Control (GitHub), DevOps … change and action network. One of the most important aspects of BCI’s mission is to support legislators and policymakers to create an enabling environment for the adoption of distributed ledger technologies. To that end, this opportunity will ensure BCI is financially sustainable before we make the developing-country communities sustainable. What's in it for the volunteer? Your More ❯

on software engineering concepts and applied experience Strong technology background with experience in object-oriented programming, test driven development using Python Experience in building and debugging application build on distributed computing architecture Good understanding of event based architecture. Strong Analytical and problem-solving skills Good interpersonal skills and able to work effectively in a global team Self-starter More ❯

including modern solution design, Target operating models, Solution Estimation and Planning, or Architecture Governance (preferably in an Agile environment). Experience with cloud platforms like AWS, GCP, Azure, and distributed computing environments for insurance solutions. Strong technical background with demonstrated expertise in insurance solutions. Experience promoting designs through Technical Design Authority forums and architecture governance processes. Understanding of More ❯

products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. More ❯

with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of Principal Consultant, Senior Technical Engineer Distributed Compute provides the solutions and services that enable the Enterprise Server Systems to operate on a daily basis for all Business Lines within. Distributed Compute consists of Engineering, ‘Security … Risk and Compliance’, and Build and Deploy functions. Distributed Compute acts as the face of Unix/Linux/Windows platforms within IT Infrastructure Delivery to internal customers. Engineer a standardized and automated process to support the migration of infrastructure included in the sale of Business Units. Infrastructure needs to be sanitized and security hardened when being sold or More ❯

Investments; technology venture capitalists Andreessen Horowitz, Breakthrough Energy Ventures, BOND Capital, and Standard Investments; and natural resources companies Equinor, BHP, and Mitsubishi. We are hiring a Director of Scientific Computing to help accelerate our mission. About the position In this role, you will lead KoBold’s scientific computing team to deliver foundational technology behind our algorithms and machine … learning models, and tools that enable KoBold’s talented mineral explorers to collaborate worldwide. Scientific computing at KoBold includes challenges such as serving machine learning models on continent scale satellite data, automated algorithms for optimal design of multibillion dollar capital projects, deep-learning based geophysics emulators, and cloud-hosted, globally available custom 3D scientific and visualization tools. The infrastructure … opportunities and technologies to build and test hypotheses and models of the subsurface. Ultimately, your role is to help KoBold make valuable discoveries by building and deploying algorithms, pipelines, distributed computing, and collaboration tools at scale to solve scientific problems. Responsibilities The Director of Scientific computing will be responsible for: Technical execution and leadership Develop KoBold’s More ❯

We are seeking a skilled Machine Learning Developer with expertise in Spark ML, predictive modeling, and deploying training and inference pipelines on distributed systems such as Hadoop. The ideal candidate will design, implement, and optimize machine learning solutions for large-scale data processing and predictive analytics. London Long Term Contract Rate - 550-600 pd Hybrid - Max Three Days in … the office Responsibilities: Develop and implement machine learning models using Spark ML for predictive analytics. Design and optimize training and inference pipelines for distributed systems (e.g., Hadoop). Process and analyze large-scale datasets to extract meaningful insights and features. Collaborate with data engineers to ensure seamless integration of ML workflows with data pipelines. Evaluate model performance and fine … efficiency. Implement scalable solutions for real-time and batch inference. Monitor and troubleshoot deployed models to ensure reliability and performance. Stay updated with advancements in machine learning frameworks and distributed computing technologies. Required Skills: Proficiency in Apache Spark and Spark MLlib for machine learning tasks. Strong understanding of predictive modeling techniques (e.g., regression, classification, clustering). Experience with More ❯

We are seeking a skilled Machine Learning Developer with expertise in Spark ML, predictive modeling, and deploying training and inference pipelines on distributed systems such as Hadoop. The ideal candidate will design, implement, and optimize machine learning solutions for large-scale data processing and predictive analytics. London Long Term Contract Rate - 550-600 pd Hybrid - Max Three Days in … the office Responsibilities: Develop and implement machine learning models using Spark ML for predictive analytics. Design and optimize training and inference pipelines for distributed systems (e.g., Hadoop). Process and analyze large-scale datasets to extract meaningful insights and features. Collaborate with data engineers to ensure seamless integration of ML workflows with data pipelines. Evaluate model performance and fine … efficiency. Implement scalable solutions for real-time and batch inference. Monitor and troubleshoot deployed models to ensure reliability and performance. Stay updated with advancements in machine learning frameworks and distributed computing technologies. Required Skills: Proficiency in Apache Spark and Spark MLlib for machine learning tasks. Strong understanding of predictive modeling techniques (e.g., regression, classification, clustering). Experience with More ❯

solutions at the intersection of quant finance and advanced engineering. Responsibilities Architect and build a next-gen macro analytics platform in modern C++, optimised for performance and scale. Develop distributed systems and Monte Carlo engines for real-time pricing and risk in cloud and multi-core environments. Collaborate with quants and traders to productionize models and integrate analytics into … technical foundation: Expert in modern C++ (17/20), solid Python skills, and experience with Excel integration. Quant & systems expertise: Background in quantitative disciplines, with hands-on experience in distributed computing, performance optimisation, and cloud-native deployment (Docker/Kubernetes). Leadership & domain knowledge: Proven team leadership, strong grasp of derivatives and macro products (e.g., Rates, FX), and More ❯

solutions at the intersection of quant finance and advanced engineering. Responsibilities Architect and build a next-gen macro analytics platform in modern C++, optimised for performance and scale. Develop distributed systems and Monte Carlo engines for real-time pricing and risk in cloud and multi-core environments. Collaborate with quants and traders to productionize models and integrate analytics into … technical foundation: Expert in modern C++ (17/20), solid Python skills, and experience with Excel integration. Quant & systems expertise: Background in quantitative disciplines, with hands-on experience in distributed computing, performance optimisation, and cloud-native deployment (Docker/Kubernetes). Leadership & domain knowledge: Proven team leadership, strong grasp of derivatives and macro products (e.g., Rates, FX), and More ❯

impact our customers in the form of products and services that make use of speech and language technology. You will leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances in computer generated speech. Position Responsibilities: - Research and implement novel Machine/Deep Learning approaches which add value to Amazon - Lead and Mentor junior engineers … or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Experience in building machine learning models for business application PREFERRED QUALIFICATIONS - Experience using Unix/Linux - Experience in professional software development Educational level More ❯

An opening for a highly skilled Software Engineer to enhance the high-performance computing (HPC) storage infrastructure of a world-leading market maker. You will work on critical projects that impact all trading teams and significantly improve data storage workflows for performance and reliability. As the team expands, you will have the opportunity to influence the overall direction of … and leadership. Your primary focus will be on enhancing data replication, optimizing research workflows, and developing APIs to manage concurrency, all while ensuring the seamless operation of our large, distributed compute cluster. The ideal candidate will have: Expert-level skills in C++ programming, with Python experience being a plus. Bachelor's or Master's degree in Computer Science, Computer … storage solutions, protocols, and technologies such as ZFS, NFS, object stores, S3, Google Cloud Storage, Lustre, and databases. Strong software design, testing, deployment, and monitoring skills in a large distributed compute cluster. Minimum of 2 years' experience. What they can offer in return: Exceptional compensation packages — all cash! World-class tech and a tech-focused culture, including hybrid working. More ❯

or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Experience in building machine learning models for business application PREFERRED QUALIFICATIONS - Experience using Unix/Linux - Experience in professional software development #J More ❯

solutions at the intersection of quant finance and advanced engineering. Responsibilities Architect and build a next-gen macro analytics platform in modern C++, optimised for performance and scale. Develop distributed systems and Monte Carlo engines for real-time pricing and risk in cloud and multi-core environments. Collaborate with quants and traders to productionize models and integrate analytics into … technical foundation: Expert in modern C++ (17/20), solid Python skills, and experience with Excel integration. Quant & systems expertise: Background in quantitative disciplines, with hands-on experience in distributed computing, performance optimisation, and cloud-native deployment (Docker/Kubernetes). Leadership & domain knowledge: Proven team leadership, strong grasp of derivatives and macro products (e.g., Rates, FX), and More ❯

Amazon. Key job responsibilities: Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market. Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry. Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and … speed. Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use. Design and code the right solutions starting with broadly defined problems. Work in an agile environment to deliver high-quality software. BASIC QUALIFICATIONS Bachelor's degree or above in computer science, computer engineering, or related field. Knowledge of … data structures, problem solving, and complexity analysis. Knowledge of programming languages such as C/C++, Python, Java, or Perl. PREFERRED QUALIFICATIONS Previous technical internship(s). Experience with distributed, multi-tiered systems, algorithms, and relational databases. Experience in optimization mathematics such as linear programming and nonlinear optimization. Effectively articulate technical challenges and solutions. Adept at handling ambiguous or More ❯

time | Leadership | Equity Available Industry: Web3 | AI Infrastructure About Us We are building the future of compute. Our platform is a decentralized, enterprise-grade cloud network , delivering scalable, globally distributed GPU resources for AI training , high-performance gaming , and Web3 infrastructure . By democratizing access to GPU power, we are accelerating innovation in machine learning, blockchain applications, and immersive … the economics and accessibility of large-scale computing. The Role We are looking for a visionary Head of Engineering to lead our growing team of backend, blockchain, DevOps, and distributed systems engineers. You will set the technical roadmap, scale the team, and help us deliver a robust, secure, and performant decentralized GPU network. Key Responsibilities Technical Leadership: Own and … evolve the technical architecture of a globally distributed compute platform. Team Management: Hire, mentor, and grow high-performing engineering teams across backend, protocol, and infrastructure domains. Strategic Planning: Collaborate with product, research, and business teams to define and execute the technical vision. Scalability & Performance: Ensure our platform is scalable, secure, and highly available across global regions. Security & Reliability: Champion More ❯

time | Leadership | Equity Available Industry: Web3 | AI Infrastructure About Us We are building the future of compute. Our platform is a decentralized, enterprise-grade cloud network , delivering scalable, globally distributed GPU resources for AI training , high-performance gaming , and Web3 infrastructure . By democratizing access to GPU power, we are accelerating innovation in machine learning, blockchain applications, and immersive … the economics and accessibility of large-scale computing. The Role We are looking for a visionary Head of Engineering to lead our growing team of backend, blockchain, DevOps, and distributed systems engineers. You will set the technical roadmap, scale the team, and help us deliver a robust, secure, and performant decentralized GPU network. Key Responsibilities Technical Leadership: Own and … evolve the technical architecture of a globally distributed compute platform. Team Management: Hire, mentor, and grow high-performing engineering teams across backend, protocol, and infrastructure domains. Strategic Planning: Collaborate with product, research, and business teams to define and execute the technical vision. Scalability & Performance: Ensure our platform is scalable, secure, and highly available across global regions. Security & Reliability: Champion More ❯